Auto-analysis framework for sequence evaluation

ABSTRACT

An automated system for evaluating biological samples which includes a centralized registry that contains protocols and configuration information for both instruments and analysis applications. The registry provides for improved automation of biological process runs using an autoanalysis applications manager component or daemon, which accesses and transmits the appropriate protocol and configuration information to selected instruments and/or applications. This information is used to instruct data capture by the biological instruments and direct the analysis of the data by the analysis applications.

CLAIM OF PRIORITY

This application is a continuation of U.S. patent application Ser. No.______ which is a continuation of U.S. patent application Ser. No.10/650,470 filed Aug. 28, 2003, which claims priority to U.S.Provisional Patent Application No. 60/407,439, entitled “Auto-AnalysisFramework for Sequence Evaluation”, filed Aug. 28, 2002, all of whichare hereby incorporated by reference.

BACKGROUND

1. Field

The present teachings relate to biological laboratory instruments and,more particularly to a system and methods for integrating large numbersof instruments and analysis applications into an automated framework.

2. Description of the Related Art

Biological analysis is often a complex process that involves manydifferent instruments and associated analysis applications. In genomicand molecular biological studies, large numbers of samples may beprocessed by sequencers, fluorometers, mass spectrometers, and otherinstruments to provide data, indicative of the composition or expressionof nucleotide or protein components comprising the sample. Captured datais subsequently provided to one of a number of different applicationsfor further processing and analysis. The analysis applications aretypically software-based and may perform such tasks as sequencedetermination, mutational analysis, single nucleotide polymorphism (SNP)identification, etc. In certain implementations, a number ofapplications may be required to process the data from a variety ofdifferent samples in order to complete the analysis. These applicationsmay be configured to operate serially wherein the resultant data outputby one application is used as input for another application. Whenoperating in this mode, the data must be properly organized andconfigured in the manner which is expected by each application.Typically, such operations are performed by an investigator and means tobetter automate the process are lacking in the industry. Likewise,parallel data processing to achieve improved throughput often requiresinvestigator coordination, monitoring, and review thus limiting thepotential to more fully automate the analysis process.

As biological laboratories become increasingly complex with moreassociated instruments and analysis applications, the difficulty ofintegrating the analysis applications and instruments into a unifiedsystem amenable to automated analysis becomes more complex. Hence, thereis a need for systems and methods which permit improved integration ofinstruments and analysis applications in biological laboratoryenvironment.

SUMMARY

The aforementioned needs are satisfied by the present teachings which,in one aspect, comprise a system for integrating a plurality ofbiological data acquisition instruments that obtain electronic data fromphysical data samples with a plurality of data analysis applications.The system comprises a plurality of instrument components associatedwith the instruments that capture identification information and datafrom the biological samples and at least one registry component defininga suitable instrument protocol for each of the plurality of instrumentcomponents and an application protocol for each of the data analysisapplications. In various embodiments, the system further comprises anapplication manager component that communicates with the plurality ofinstrument components and the plurality of data analysis applicationsand further has access to the information contained in the at least oneregistry component. The application manager utilizes the informationcontained in the at least one registry component to determineappropriate data and information to be sent and received from thebiological instruments, as well as, determining the type and format ofdata to be provided to the analysis applications. In one aspect, theapplications manager component further recognizes an analysis protocolto be used to perform a desired data analysis procedure. Theapplications manager sends/receives data, information and instructionsto/from analysis applications so as to provide a means to conductmulti-step analysis which require interaction between a plurality ofsoftware applications and/or instruments.

The applications manager may further provide a user interface whereby aninvestigator can program or schedule biological analysis routines forone or more samples by selecting instruments identified in the registryto capture the data from the biological sample and selecting the one ormore analysis applications from the registry to receive and process theelectronic data. In various embodiments, additional instruments andanalysis applications can be incorporated into the system by registeringthe instrument component protocols and analysis application protocols inthe registry as desired or as they become available.

In another aspect, the present teachings provide a system forintegrating a plurality of biological data instruments that acquireelectronic data from physical biological samples with a plurality ofdiscrete data analysis applications that receive the electronic datafrom the biological data instruments. The system may be configured tooperate in such a manner so as to provide a degree of transparencybetween the instruments and applications such that the data formatting,transmission, and storage is handled without special or customconfiguration of either the instruments or applications. This featureimproves scalability of the system and allows for a more flexible meansto maintain/upgrade components of the system.

The system further comprises a plurality of instrument componentsrespectively associated with the biological data instruments and the atleast one registry containing instrument protocols for each of theplurality of instruments and protocols for each of the data analysisapplications, wherein the data analysis protocol includes a messagingprotocol. In this aspect, the system further comprises an applicationmanager that communicates with the plurality of instrument componentsand the plurality of data analysis applications via a standardizedcommunications protocol wherein the application manager has access tothe at least one registry and includes an associated user interface suchthat the user can program a series of biological analysis operations tobe performed via the user interface such that selected biologicalsamples may be processed by desired instruments. Upon completion of theprocessing of the biological samples, the data may be made available toselected data analysis applications for subsequent processing. In thisaspect, the application manager automatically makes the data availableto the data analysis application(s) via an appropriate communicationsprotocol by notifying the data analysis application(s) of the locationand/or address of the data or by distributing the information directlyto the application itself.

In yet another aspect, the present teachings describe a system forintegrating a plurality of biological data instruments that obtain datafrom samples, with a plurality of data analysis applications, whereinthe system comprises a plurality of instrument components respectivelyassociated with the instruments that capture identification informationfrom the samples, at least one registry containing instrument protocolsfor each of the plurality of instrument components and protocols foreach of analysis applications wherein the protocols for the analysisapplications includes a format protocol indicative of the formatrequired by a selected analysis application to process data from one ofthe plurality of instruments. The system in this aspect furthercomprises a management component that communicates with a plurality ofinstrument components and the plurality of analysis applications and hasaccess to the at least one registry. In this particular implementation,the manager component includes a user interface that provides a meansfor a user to select one or more instruments to be used to conduct abiological analysis. The user interface further provides means forselecting particular samples to be analyzed and can further direct theresultant data obtained from particular instruments to be provided toappropriate analysis applications. In this aspect, the applicationsmanager provides instructions to the instrument component associatedwith selected instruments such that the instrument component will outputthe data in a desired format as indicated by the format protocol in theregistry and specified for the selected analysis application that is toreceive the data from the instrument component.

From the foregoing, it will be appreciated that the system and methodsof the present teachings permit a scalable environment in which toconduct biological analysis and further provide greater flexibility interms of adding or changing instruments and analysis applications.Furthermore, integration of the application manager into the systemimproves data transparency throughout the analysis environment andfacilitates design and implementation of automated routines. These andother objects and advantages of the present teachings will become moreapparent from the following description taken in conjunction with theaccompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of a biological analysis system with amanagement and registry component that permit enhanced automation of thesystem;

FIG. 2 is an exemplary flow chart illustrating how new instruments andanalysis applications can be added into the system of FIG. 1;

FIG. 3 is a block diagram which illustrates one exemplary organizationof a registry service that is a component of the system of FIG. 1;

FIG. 4A is a block diagram graphically illustrating the components usedby an investigator to program a biological sample evaluation or run;

FIG. 4B is an exemplary flow chart illustrating one manner in which theinvestigator can program the system of FIG. 1 to conduct biologicalanalysis for a plurality of samples;

FIG. 4C illustrates exemplary screen shots of the information that canbe provided to the investigator programming the system of FIG. 1;

FIG. 5 is a diagram illustrating the operation of the system of FIG. 1during a biological analysis run;

FIG. 6A is an exemplary screen shot illustrating status information thatcan be provided by the system of FIG. 1 during a biological analysisrun; and

FIGS. 6B-6D illustrate various exemplary data analysis pipelinesassociated with selected software applications.

DETAILED DESCRIPTION OF CERTAIN EMBODIMENTS

Reference will now be made to the drawings wherein like numerals referto like parts throughout. FIG. 1 is a block diagram that graphicallyillustrates a biological analysis system 100. As is shown in FIG. 1, thebiological system 100 includes a plurality of instruments 120 a-120 nused to evaluate physical biological samples and provide electronicsignals/data indicative of the constituent components or informationobtained from the biological samples tested. The instruments 120 a-120 nmay include known devices, such as sequencers, fluorometers, massspectrometers, bioinformatics assay devices, spectrometers, and thelike. As is also shown in FIG. 1, the biological analysis system furtherincludes a plurality of analysis applications 124 a-124 n. The analysisapplications are designed to receive the information generated by theinstruments 120 a-120 n and further process this data. The analysisapplications may, for example, include software programs that containalgorithms and processes that determine sample sequences or evaluateexpression data from the information provided by the instrument and mayalso perform a multiplicity of other analyses, such as mutationalanalysis of the sample data, single nucleotide polymorphism (SNP)identification, base calling and the like. The instruments 120 a-120 nand the analysis applications 124 a-124 n may comprise any of a numberof different instruments and analysis applications known in the art.

In existing biological analysis systems, the incorporation of newapplications or instruments into the analysis environment often requiressignificant efforts to modify the existing architecture in order tosupport the new instrumentation and/or applications. For example, if anew application is to be desirably integrated into the environment,those instruments that will provide data to the new application may haveto be reprogrammed/reconfigured. In one aspect, reconfiguration in thismanner is necessary to insure that the data generated by the instrumentsis provided to the analysis application in the proper format and at theproper time. Alternatively, human intervention may be required toreformat data generated by particular instruments into an appropriateformat for a selected analysis application. Both of these considerationsincrease the cost and difficulties of operating a large, complexbiological analysis system.

In general, existing biological analysis environments are not wellsuited to accommodate changes in the individual components (e.g.,instruments and applications) and, furthermore, maintaining a highlyautomated environment necessarily imparts a large degree of rigidityinto many aspects of conventional systems including protocols, dataformats, run scheduling, allocation of application resources and thelike.

In contrast, as illustrated in FIG. 1, the biological analysis system100 includes an autoanalysis manager 102 with an associated messageservice 104. The autoanalysis manager 102 comprises a daemon orcoordination component that communicates with the analysis applications124 a-124 n as well as the data collection modules 114 a-114 nassociated with the instruments 120 a-120 n. As will be discussed ingreater detail below, the autoanalysis manager 102 facilitates thetransfer of the electronic data from the instruments 120 a-120 n to theanalysis applications 124 a-124 n in a manner that reduces the need forhuman intervention. Moreover, the autoanalysis manager also allows forthe addition of new instruments 120 a-120 n or new analysis applications124 a-124 n into the biological analysis system 100 without significantreprogramming of the operating systems of either the instruments 120a-120 n or the analysis applications 124 a-124 n. Furthermore, theautoanalysis manager 102 provides a means to efficiently design,schedule, and execute experimental runs and subsequent analyses even incomplex environments.

As is illustrated in FIG. 1, the autoanalysis manager 102 is configuredto communicate with a registry service 112. The registry service 112includes identifiers and protocols for each analysis application 124a-124 n. Similarly, the registry 112 also includes identifiers andprotocol information for each of the instruments 120 a-120 n. As willalso be described in greater detail below, when new instruments orapplications are added to the biological analysis system 100, theregistry may be updated to include the appropriate identificationinformation and protocols for the newly added component(s). Theautoanalysis manager 102 may further use the information in the registryto determine the appropriate format of data and communicate informationgenerated by the instruments 120 a-120 n to the analysis applications124 a-124 n. In one particular implementation, the registry comprises aJAVA naming and directory interface (JNDI) configured for the tasks andfunctionalities indicated.

As is also illustrated in FIG. 1, the autoanalysis manager 102 has anassociated messaging service 104 which broadcasts messages to theinstruments 120 a-120 n and analysis applications 124 a-124 n. Forexample, the autoanalysis manager 102 communicates with the datacollection modules 114 a-114 n that are associated with each of theinstruments 120 a-120 n. In various embodiments, the data collectionmodules 114 a-114 n represent software or hardware front ends to theinstruments 120 a-120 n and provide signals and information to theautoanalysis manager 102 indicative of the status of sampleprocedures/processes being performed by the instruments 120 a-120 n. Theaforementioned information may further indicate the data storagelocations 116 a-116 n where the data captured/generated by theinstruments 120 a-120 n can be located. In one aspect, upon receivingstatus information about a particular sample process from one or more ofthe data collection modules 114 a-114 n, the autoanalysis manager 102induces a messaging service 104 to broadcast a message that one or moreof the analysis applications 124 a-124 n and the autoanalysis manager102 can be configured to receive. In one particular implementation, themessaging service comprises a JAVA messaging language service (JML)which broadcasts these messages.

As is illustrated in FIG. 1, the autoanalysis manager 102 may also havean associated user interface 106 which allows an individual to interactwith the autoanalysis manager 102 to design, configure and schedule anautomated analysis run. As will be described in greater detail below,the autoanalysis manager user interface 106 provides an environmentwhich displays available instruments, protocols, and analysisapplications which may be configured to perform automated analysis ofdesired biological samples. The analysis manager further directs theexecution of a defined run by instructing the instruments to acquire theappropriate data which may then provided to selected analysisapplications 124 a-124 n in an automated fashion. As is shown in FIG. 1,the autoanalysis manager 102 may also have access to a plate database110 wherein the plate database 110 includes identification informationabout sample trays containing a plurality of different physicalbiological samples. An investigator, through the user interface 106, canaccess the plate database 110 and then direct particular samples onindividual plates to be acquired/evaluated by selected instruments 102.Furthermore, the investigator can define how the corresponding data willbe provided to analysis applications 124 a-124 n for subsequentprocessing and the type(s) of analyses to be performed.

As is also illustrated in FIG. 1, associated with each analysisapplication 124 is an application plug-in 126 a. The application plug-in126 a comprises a driver configured to operate with the autoanalysismanager 102 which provides a set of definitions/instructions to theautoanalysis manager 102 to thereby allow the autoanalysis manager 102to communicate with the analysis applications 124 a-124 n. The use ofthe plug-in in this instance allows for additional analysis applications124 to be added by registering the analysis application 124 with theregistry service 112 and then associating an appropriate plug-in 126with the autoanalysis manager 102 thereby providing an efficient meansto add functionalities to the analysis system while reducing the need toreconfigure/reprogram the autoanalysis manager 102. While not shown, asimilar implementation can be used to incorporate new or additionalinstruments 120 a-120 n into the system. In this implementation, thedata collection module 114 contains the functionality/definitions ofknown plug-ins. Hence, the ability to add new instruments 120 andanalysis applications 124 to the system 100 or to remove instruments 120or applications 124 or even to modify instruments 120 and applications124 may be performed by an update of the registry 112 and potentiallythe installation of an application plug-in with the autoanalysis manager102. Hence, the biological analysis system 100 provides for a moreflexible/scalable environment than systems of the prior art.

Referring now to FIG. 2, a simplified exemplary flow chart illustrates aprocess 200 that allows for the addition of new instruments or newanalysis applications into the biological analysis system 100.Initially, from a start state 202, a determination is made as to whethera new instrument 120 is being added in decision state 204. If a newinstrument 120 is being added, information, such as the location, I.D.,definitions and protocols for the particular instrument 120 is providedto the registry service 112, in state 206, such that the registryservice 206 includes definitions and identifiers for the newly addedinstrument 120. In one particular implementation, the data collectionmodule 114 associated with a particular instrument 120 is configuredsuch that upon activation of the instrument 120, the module 114 sends amessage to the registry 112 indicating its addition to the system 100.The module 114 may also provide the necessary definition to the registryservice 112 or if the necessary definitions are already in existence inthe registry 112, will provide an indication to the registry service 112such that the registry service 112 will update the number of instancesof this particular instrument 120 within the system 100.

It will be appreciated that the registration of additional instrumentsinto the particular system can also be accomplished through theautoanalysis manager 102 and can even be accomplished manually via auser using, for example, the autoanalysis GUI 106. As such, any of anumber of different manners of updating the registry 112 may be utilizedto indicate the scope of the present teachings.

Similarly, as indicated in FIG. 2, a determination is also made as towhether a new analysis application is being added in decision state 210.If a new analysis application 124 is being added, then identificationinformation and expected protocols for the new analysis application areprovided to the registry service 112 in state 212. As discussedpreviously, the analysis application 124 can provide this informationdirectly to the registry service 112 itself via the messaging serviceor, alternatively, this information can be provided to the registryservice through the autoanalysis manager 102 or even manually, forexample, via the autoanalysis GUI 106.

Once the registry service 112 has been updated as to the protocols andidentification information for a selected analysis application, aplug-in 126 that is associated with the newly added analysis application124 may then be provided to the autoanalysis manager 102 in state 214.Hence, new analysis applications 124 can be added to the system 100 byregistering the protocols for the analysis application in the registryservice 112 and associating a plug-in with the autoanalysis manager 102thereby allowing the autoanalysis manager 102 to send signals to theanalysis applications 120 and further allowing the autoanalysis manager102 to have access to the protocol for the analysis application 120 inthe registry service 112. Consequently, new instruments and analysisapplications 124 can be added to the system without requiringsubstantial reprogramming of the autoanalysis manager 102 or withoutrequiring substantial modification of the instruments, their associatedmodules or the associated analysis applications.

In one aspect, the present teachings may be used to integrateinstruments and applications into the system in a manner that issubstantially transparent to the instrument or application itself. Forexample, a selected instrument need not be aware of the rest of thecomponents of the system and may be configured to process samples asinstructed. The resultant data may then be collected and distributed tothe appropriate location within the system via direction by theautoanalysis manager. Likewise data can be provided to a selectedapplication via the autoanalysis manager wherein the applicationreceives the data in an expected format which is processed and theresults of which are again collected and distributed to the appropriatelocation within the system. One desirable result of the aforementionedfunctionalities is that the autoanalysis manager may be configured toperform scheduling functions and load balancing operations. For example,if more than one instrument or application is used to perform a selectedtask, the autoanalysis manager may determine which instrument orapplication is available and assign the task in such a manner so as todistribute workload effectively. This functionality improves theutilization of available resources within the system and helps to avoidpotential bottlenecks. Another functionality of the autoanalysis manageris the ability to identify instruments or applications which are offlineor busy and redirect tasks accordingly. A further functionality of theautoanalysis manager is the ability to schedule data collection runs ordata analysis runs at desired times or intervals. For example, aninvestigator may define a complete data collection and analysis andschedule the run to be performed during the evening such that theresults of the run will be available the following morning. Takentogether these features enable improved load-balancing, scheduling,monitoring, and processing of samples and data as compared to systemsdescribed in the prior art.

FIG. 3 is a simplified graphical representation of the information thatmay be contained within the registry service 112. It will be appreciatedthat the actual implementation of the registry service 112 can be any ofa number of different organizations and as such the organization shownin FIG. 3 should be considered for illustrative purposes only. Asindicated in FIG. 3, a plurality of records 240 a-240 n may be definedwithin the registry service 112 for each of the analysis applications124 a-124 n. Each record may include an identifier for the analysisapplication which provides an indication as to the type of analysisapplication and the appropriate commands, data formats, and protocolsfor the analysis application. For example, the protocols define theformat in which data from the data collection modules 114 associatedwith the instruments 120 is to be transmitted to the analysisapplications 240. Similarly, there may be a communications protocol 240which indicates how the analysis application 124 is to be communicatedwith. In one implementation, the communications protocol provides anidentifier (e.g. header) that can be attached to messages broadcast bythe messaging service 104 which will result in selected analysisapplications to which the identifier is directed accepting and decodingthe particular message or communication. Hence, the identifierinformation may be used by the autoanalysis manager to transferelectronic data captured/generated by the instrument 120 and stored inthe data storage location 116 accessible by the analysis application124.

The autoanalysis manager 102 further provides formatting information tothe data collection module 114 a at or before the time the data isstored in the data storage location 116 such that the data isstored/provided in the format which is appropriate for the analysisapplication 124 that is to receive the data. Alternatively, the data maybe stored in the data storage location 116 in a selected format andlater converted to another format which is compatible with the selectedanalysis application on the basis of the information stored in theregistry service. As will be discussed in greater detail below, theautoanalysis manager 102 may utilize a selected communications formatfor each analysis application 240 when it receives a signal from thedata collection module 114 that the data has been captured by theinstrument and stored in the data storage location 116 such that theautoanalysis manager 102 may induce the messaging service 104 tobroadcast the message which will then be acted on by the analysisapplication 240. As will also be apparent from the followingdescription, the protocols for the analysis applications may include awide variety of different requirements for each instrument to capturethe data and vary application by application. It will be furtherappreciated that data from a selected instrument may be captured andsaved in a “raw” and “native” format. Subsequently the data may bereformatted in a manner compatible with applications registered with theregistry service.

As is also illustrated in FIG. 3, the registry may also containinstrument records 244 a-244 n that correspond to each of theinstruments 120 a-120 n. The instrument records may includeidentification information for each of the instruments, an indication asto the type of instrument and further, the protocol that defines how theparticular instrument is to be used. The protocols can includecommunications and format protocols in the manner described above inconnection with the analysis application records 240. Again, theprotocols defining an instrument 120 can include any of a number ofdifferent variables or definitions that define the instrument and, ofcourse, may vary instrument by instrument.

One advantage in having an integrated system 100 containing anautoanalysis manager 102 or similar daemon interposed between theinstruments and the analysis applications, is that this systemconfiguration allows for simplified programming of automated biologicalsample runs by the investigator. FIG. 4A is a graphical illustration ofthe resources that may be available to an investigator seeking todevelop an automated biological sample run for a selected set ofsamples. Initially, the investigator can interface with the system 100via the autoanalysis user interface 106 which, in certain embodimentscomprises a graphical user interface. This feature allows theinvestigator the ability to access certain information provided by theautoanalysis manager 102 such as plate information from the platedatabase 110. The investigator can also obtain instrument information244 from the registry service 112 via the autoanalysis manager and canfurther obtain analysis application information from the registryservice 112 via the autoanalysis manager 102.

Hence, the individual who is seeking to perform a process run on one ormore samples has, through the GUI 106 and the autoanalysis manager 102,the ability to view available resources within the system 106 and canfurther view information about a particular plate and the samplespositioned therein. Moreover, the individual can program the process runfor the samples on particular plates by selecting instruments 120 thatwill perform particular procedures on the samples and can also have theresultant electronic data provided to selected analysis applications 124to perform further processing of the electronic information. By havingaccess to the instrument information 244 and the analysis application240 from the registry service 112, the individual is able to determinewhich instrument and which analysis applications are appropriate for aparticular biological process run. In certain embodiments, the userinterface used for developing process runs may be implemented as ascripting language or in other contextual language format. For example,Extensible Markup Language (XML) may be used to facilitate flexibilitydefining the characteristics, attributes, features, and capabilities ofthe various components of the system.

FIG. 4B is an exemplary flow chart illustrating one process by which abiological sample run may be developed and implemented using the system100. This particular flow chart is exemplary of a particular processflow and will be discussed in connection with FIG. 4C in which theprogramming of a biological process run can be implemented in awindows-based environment.

Referring to FIG. 4B, the exemplary process flow is as follows, from astart state 252 the plate information is displayed in state 254 to theinvestigator via the user interface 106. In general, the plateinformation may previously have been entered into the plate database andthe investigator is presented with a graphical representation of thevarious samples contained within the plate database with associated orrelevant identifiers. Once it is determined that the investigator hasselected an appropriate analysis application in decision state 256, theapplication manager then retrieves and displays available protocols forthe analysis application(s) in state 260 via the user interface 106. Indefining a selected biological process run the investigator may set orconfigure a variety of parameters in state 262 using the selectedprotocols that have been retrieved from the registry service 112 anddisplayed to the user in state 260.

One function of the protocols is to facilitate run design by reducingthe number of parameters and variables that must be configured by theuser. In various embodiments, the autoanalysis manager recognizes theinstructions/samples input by the investigator and populates/configuresthe appropriate fields/definitions required to perform selected actionsdesired by the investigator with minimal input or knowledge requiredfrom the investigator. Thus the autoanalysis manager may identify aninstrument or application within the system appropriate to perform theoperations designated by the investigator and configure the process runto provide suitable communications to the appropriate components toperform the process run. One desirable feature of such an implementationis that the investigator is substantially relieved of the burden ofhaving to maintain in-depth knowledge of the location, functionalstatus, or availability of components within the system itself therebyimproving the flexibility and ease with which autoanalysis of samplescan be conducted.

Once the various analysis application protocols are displayed in state260, the investigator may configure various conditions for theappropriate protocols available for the selected analysis applicationand set these as run-time parameters in state 262. If it is determinedthat the investigator has selected an instrument operation in decisionstate 264, then the instrument protocols may also be retrieved from theregistry service 112 and displayed in state 266. As previously notedsome of the instrument protocols may also be modified automatically bythe autoanalysis manager 102 in response to the parameters that havebeen selected for the analysis application in state 270. Theautoanalysis manager 102 automatically adjusts appropriate parametersused by the instrument 120 to perform the biological sample run basedupon the requirements of the particular analysis application 124.Additionally, the individual may also configure selected or additionalparameters, in state 272, for the instruments among the variousprotocols that have been displayed in state 266.

This particular process of selecting parameters for the analysisapplication 124 and the instrument 120 generally continues until theinvestigator has completed the programming of the entire biologicalsample run at which point the parameters for the instruments aredelivered to the associated data collection modules 114 in state 276 andthe parameters for the analysis application is delivered to the analysisapplication in state 278.

Hence, using the graphical user interface 106 and the autoanalysismanager 102, provides a means for the investigator to program abiological sample run that may be implemented by the autoanalysismanager 102. In an automated laboratory, the various sample plates maybe delivered to the various instruments selected by the investigator andthe various samples on the sample plates may be analyzed in accordancewith the selected parameters and the results may then be provided to theselected analysis applications for further processing.

In various embodiments, a previously defined sample run may be re-usedand executed at a later time as desired by the investigator. The abilityto define re-usable sample runs further improves the flexibility andconvenience of using the autoanalysis system. Additionally, rather thanhaving to create process runs from scratch, the investigator may reuseor modify various portions of existing process runs that have beenpreviously defined and saved. This feature improves the speed with whichthe investigator may complete the configuration or construction of newprocess runs.

In one particular implementation, the programming of a biological samplerun is accomplished using a windows-based environment wherein a sampleplate construct 290 is graphically displayed to the individualprogramming the biological sample run. FIG. 4C is an illustration of oneexample of the graphic display which may be used in programming abiological process run where the data captured by the instruments is tobe analyzed by Applied Biosystems Gene Mapper™ analysis application.

The Gene Mapper™ application includes a variety of parameters thatdefine the process performed on the samples contained in the sampleplate. As illustrated, the construct 290 may incorporate a variety offields defining the instrument operation and a number of these fieldsmay be populated by protocols defined for the Gene Mapper™ applicationwhich are registered by the Gene Mapper application in the registryservice 112.

As shown in FIG. 4C, there may be an identifier for each of the wells onthe sample plate as well as a sample name identifier. Further, commentsmay also be added to provide additional information about particularsamples in particular wells. There may also be a field for sample typewhich constitutes a parameter that will be provided to the datacollection module 114 for a particular instrument 120 which is aprotocol defined by the Gene Mapper analysis application and stored inthe registry service 112. As shown in this particular example, there arethree separate types of sample-type objects, sample, control and ladder,wherein sample a selected sample which is to be evaluated by theinstrument 120 and analysis application 124, control defines a knowncontrol sample and ladder defines a known reference sample. The ladderand controls are used to identify or aid in the analysis of selectedsamples and the information provided by these sample-types may be usedby the analysis application in conjunction with the selected samples toperform a desired analysis.

As is also illustrated in FIG. 4C, there may exist a field for ananalysis group which defines a group that a selected sample belongs tofor organizational purposes. As is also illustrated, there may alsoexist a field for standard dye used by the Gene Mapper analysisapplication 124 that is registered in the registry service 112. In thisparticular implementation, Gene Mapper™ analysis application 124supports red, green, blue, yellow and orange dye colors and thisinformation is provided to the instrument 120 such that the instrument120 is aware of the dye color associated with a selected well so thatwhen capturing data from the sample, the instrument 120 uses theappropriate data acquisition wavelength for the sample well.

In this particular implementation, there is also a field for panel,which is also defined in the protocol that is registered in the registryservice 112. The panel may represent a particular set or series ofoperations to be performed on a selected sample. Similarly, there isalso a field for size standard which defines the type or nature of thestandard used by the Gene Mapper analysis application when evaluated thesample data. Again, this information may be stored in a protocol in theregistry service 112 for use with a particular application or instrument120.

As is also indicated, there may be run protocols and analysis protocolswhich are registered with the registry service 112 and define the mannerin which the instrument 120 will process the biological samples suchthat the resulting data can be accurately processed by the desiredanalysis application.

From the foregoing, it will be apparent that the system enables theinvestigator to automatically program both instruments 120 and analysisapplications 124 to analyze selected biological samples in a process runby accessing both the instruments 120 and analysis applications 124protocols in the registry service 112 via the autoanalysis manager 102.Once the particular parameters have been selected for both theinstrument operation and the analysis application, the autoanalysismanager can automatically instruct the instruments to process thesamples and provide the information to the analysis application whichcan then further process the data. Subsequently, the data may be storedin a desired location within the system and retrieved/viewed by theinvestigator.

FIG. 5 is a flow chart that graphically illustrates the operation of thesystem 100 in performing a biological process run. As is indicated inFIG. 5, when a downstream application, which is generally an analysisapplication 124, is installed, the application is registered with theregistry service 112, referred to in this figure as the naming anddirectory service. Further, the list of available protocols may also beregistered in the naming and directory service 112 upon installation ofone of the downstream applications. Various examples of downstreamapplications are also listed in FIG. 5 and include Applied Biosystems'Gene Mapper applications, Seqscape applications, and SeqA applications.When a biological process run is to be implemented, the data collectionsoftware or module 114 fetches from the registry 112 or naming anddirectory service the information required to populate the plate recordin a manner similar to that described above. Subsequently, the datacollection module or software 114 instructs the instruments 120 toperform the process run in accordance with the parameters defined in theplate record 290 obtained from the registry 112 or naming and directoryservice.

Once the process run has been completed and the electronic data has beencaptured, the data collection software or module 114 then broadcasts arun complete notice or event to the messaging service 104. The format ofthis message may be a JAVA messaging language (JML) message that istransmitted to the messaging service 104 which then subsequentlybroadcasts this message to the autoanalysis manager 102 which isreferred to in this drawing as the downstream application scheduler. Inthis particular implementation, the downstream application scheduler isa functionality implemented by the autoanalysis manager 102 which thensends an appropriate signal to the selected downstream analysisapplication 124 to thereby invoke the subsequent analysis of theelectronic data captured by the instruments.

As is also illustrated in FIG. 5, the data collection software or module114 may also broadcast status signals or events to the event messagingservice 104 which can also be provided to the downstream applicationscheduler or autoanalysis manager 102. This information can be viewed byan investigator via an interface, such as the user interface 106. FIG.6A is an example of the status information that the user can see on theuser interface 106. The status field provides an indication of the stateof completion of a particular project and may be associated with anindividual or username who initiated the particular project. Further, italso provides an indication as to the sample number and to the date andtime associated with the particular project. As will be appreciated byone of skill in the art the information shown in connection with FIG. 6Ais but one an example of the various types of status information thatcan be provided to an individual monitoring the performance of thesystem 100 and as such the status information will be expected to varydepending upon the implementation.

Referring again to FIG. 5, once the downstream application schedulerfunctionality of the autoanalysis manager 102 has received the signalfrom the data collection software or module 114 that the instrumentshave collected the desired data from of the physical biological samples,it then issues an appropriate notice or signal to the pre-selectedanalysis applications 124 for the particular project to initiate theiranalysis of the data. Consequently, the analysis application 124 thenobtains the data that has been stored by the data collection module 114at a particular data storage location or data object 116, and conductsthe subsequent analysis. The location of the data is typically stored inthe registry 112 such that when the analysis applications 124 that havebeen selected to analyze particular data receives the broadcast signalindicating that the data is now available, the applications programaccesses the location by looking in the registry 112 for the datalocation for this particular instrument and then accesses the dataaccordingly.

From the foregoing, it will be appreciated that the system 100 is easilyscalable to include additional analysis applications or instruments. Theuse of a centralized registry system where the protocols for theinstruments and analysis applications can be stored and thereby accessedby the autoanalysis manager allows for automated biological process runswhere the instruments are induced to collect and store data inaccordance with the requirements of the individual running the projectand the data is collected in an appropriate format for subsequentevaluation and analysis by the applications program without requiringreconfiguration or reformatting of the data. As a consequence, theelectronic data can be provided directly to the analysis application andthe analysis application can then perform its analysis without requiringsignificant human intervention.

The following examples illustrate various exemplary modes of operationof the autoanalysis system. In various embodiments, the presentteachings may be applied to nucleotide or protein analyzers including,for example, the Applied Biosystems 3730 series DNA analyzers andaccompanying control and analysis software. A principal benefit realizedwhen applying the methods described herein is that improved throughputmay be achieved while reducing data entry and processing complexity;especially in large-scale nucleotide or protein analysis projects. Invarious embodiments to streamline sample input and extraction, theautoanalysis manager and associated components automatically track andstore plate records, run folders, and analysis parameters within asearchable database.

FIG. 6B illustrates an exemplary analysis or procedural flow diagramimplemented for a sequence analysis application (such a SequencingAnalysis V 5.0 Software developed and distributed by Applied Biosystems,Foster City Calif.). As shown in the illustration, sample data acquiredfrom a selected instrument is initially processed by the autoanalysismanager and sample files generated. These files may then be autoanalyzed via one or more analysis software applications.

The analysis software application may reside on the same computer whichoperates in conjunction with the selected instrument or may be operatedon a secondary computer(s) which runs the analysis applicationindependently of the instrument. The autoanalysis manager directs theoperation of the analysis application and insures that the appropriatedata is made available to the application irrespective of its locationwith in the system. Furthermore, the autoanalysis manager determines anddirects the storage of data after processing by the analysis application(for example by storing or saving in a database).

In one aspect, the application software automatically processes thesample files according to the assigned analysis protocol settings. Theanalysis pipeline shown in FIG. 6B outlines a process that may proceedwhen implementing a base-calling method. This pipeline may utilize thefunctionalities of one or more software applications to perform thevarious operations within the pipeline wherein the autoanalysis manageris responsible for directing/re-directing the data from one applicationto the next as necessary. The final output comprises the processedsample files and an analysis report which may contain informationincluding analysis success, quality values, LOR and average signalstatistics, and other information relating to the processed samples.

In one aspect, autoanalysis proceeds with sample files generated by adata collection instrument which may be combined with pre-configuredanalysis protocols. Alternatively, investigators may assign differentanalysis settings while manually importing sample files into theanalysis software. Review of the data generated following data analysisby the software application(s) may be accomplished through a userinterface which provides a means to view, edit, analyze, and print fromwithin the analysis application. In one aspect, multiple sample filescan be viewed at once within a view window along with relevant data(e.g. quality value (QV) assignments). This functionality provides foreasy and rapid viewing, quality assessment and editing of larger amountsof processed data.

FIGS. 6C & 6D further illustrates exemplary analysis operations of thesystem in conjunction with analysis applications including GeneMapperv3.0 and SeqScape v2.0 (Applied Biosystems, Foster City, Calif.). Inthese analysis pipelines (and others), the analysis software may utilizeplate records, sample file information, pre-configured analysis methodsand size standard calibration data during auto-analysis which may beobtained via the shared autoanalysis manager component. Processedsamples can further be viewed, edited, analyzed, and the output printedfrom within the analysis application.

Although the above-disclosed embodiments of the present invention haveshown, described, and pointed out the fundamental novel features of theinvention as applied to the above-disclosed embodiments, it should beunderstood that various omissions, substitutions, and changes in theform of the detail of the devices, systems, and/or methods illustratedmay be made by those skilled in the art without departing from the scopeof the present invention. Consequently, the scope of the inventionshould not be limited to the foregoing description, but should bedefined by the appended claims.

All publications and patent applications mentioned in this specificationare indicative of the level of skill of those skilled in the art towhich this invention pertains. All publications and patent applicationsare herein incorporated by reference to the same extent as if eachindividual publication or patent application was specifically andindividually indicated to be incorporated by reference.

1. A system for integrating biological instruments that acquire datafrom biological samples with analysis applications that analyze the dataacquired from the biological samples, the system comprising: a registrycontaining protocol information for each of the biological instrumentsand the analysis applications; and an applications manager thatcommunicates with both the analysis applications and the biologicalinstruments wherein the applications manager has access to the registryand upon receiving instructions to have a biological instrument acquiredata from selected biological samples and provide the sample data toselected analysis applications, the applications manager retrieves theprotocol information from the registry and directs parameters to beconfigured for the biological instrument such that the data captured bythe biological instrument is made available to the analysis applicationin a suitable format.